An Advanced Learning Framework for High Dimensional Multi-Sensor Remote Sensing Data Project

Description

<p>
Improve the use of land cover data by developing an advanced framework for robust classification using multi-source datasets:<br />
Develop, validate and optimize a generalized multi-kernel, active learning (MKL-AL) pattern recognition framework for multi-source data fusion.<br />
Develop both single- and ensemble-classifier versions (MKL-AL and Ensemble-MKL-AL) of the system.<br />
Utilize multi-source remotely sensed and in situ data to create land-cover classification and perform accuracy assessment with available labeled data; utilize first results to query new samples that, if inducted into the training of the system, will significantly improve classification performance and accuracy.<br />
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Resources

Name Format Description Link
View documentation related to this dataset HTML Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. Open resource
This dataset's landing page HTML Provides access to data, documentation, tools, citation information, support, and other resources. Open resource
Download this dataset HTML Direct download via HTTPS protocol. Open resource
Download this dataset HTML Data Access link for ITSD project Open resource
Download this dataset HTML Tool to visualize, search, and download IceBridge data. Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset through Earthdata Search HTML NASA's newest search and order tool for subsetting, reprojecting, and reformatting data. Open resource
XML File XML Open resource
XML File XML Open resource

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